Suppr超能文献

用于评估外周器官及靶区附近关键器官对辐射的生物学反应的蒙特卡罗方法。

Monte Carlo methods to assess biological response to radiation in peripheral organs and in critical organs near the target.

作者信息

Matuszak Natalia, Piotrowski Igor, Kruszyna-Mochalska Marta, Skrobala Agnieszka, Mocydlarz-Adamcewicz Mirosława, Malicki Julian

机构信息

Department of Electroradiology, Poznan University of Medical Sciences, Poznan, Poland.

Radiobiology Laboratory, Department of Medical Physics, Greater Poland Cancer Centre, Poznan, Poland.

出版信息

Rep Pract Oncol Radiother. 2024 Dec 4;29(5):638-648. doi: 10.5603/rpor.103525. eCollection 2024.

Abstract

BACKGROUND

The biological effects and clinical consequences of out-of-field radiation in peripheral organs can be difficult to determine, especially for low doses (0.1 Gy-1 Gy). In recent years, Monte Carlo (MC) methods have been proposed to more accurately predict nontarget doses. The aim of the present study was to assess the feasibility of using Monte Carlo methods to predict the biological response of tissues and critical organs to low dose radiation (0.1 to 1 Gy) based on results published in the literature.

MATERIALS AND METHODS

Literature review, including studies published by our group.

RESULTS AND CONCLUSIONS

It has long been assumed that radiation doses to peripheral organs located far from the target volume are too low to have any clinical impact. In recent years, however, concerns about the risk of treatment-induced secondary cancers, even in peripheral organs, have continued to grow in line with increasing life expectancy. At present, it is difficult in routine calculations to accurately determine radiation doses to the whole body and peripheral organs. Moreover, the potential clinical impact of these doses remains uncertain and the biological response to low dose radiation depends on the organ. In this context, MC methods can predict biological response in those organs. Monte Carlo methods have become a powerful tool to better predict the consequences of interactions between ionising radiation and biological matter. MC modelling can also help to characterise microscopic system dynamics and to provide a better understanding of processes occurring at the cellular, molecular, and nanoscales.

摘要

背景

外周器官中射野外辐射的生物学效应和临床后果可能难以确定,尤其是对于低剂量(0.1戈瑞 - 1戈瑞)而言。近年来,已提出蒙特卡罗(MC)方法以更准确地预测非靶区剂量。本研究的目的是根据文献发表的结果评估使用蒙特卡罗方法预测组织和关键器官对低剂量辐射(0.1至1戈瑞)的生物学反应的可行性。

材料与方法

文献综述,包括我们团队发表的研究。

结果与结论

长期以来人们一直认为,位于远离靶区的外周器官所接受的辐射剂量过低,不会产生任何临床影响。然而,近年来,随着预期寿命的增加,即使是对外周器官中治疗诱发继发性癌症风险的担忧也在持续增加。目前,在常规计算中难以准确确定全身和外周器官的辐射剂量。此外,这些剂量的潜在临床影响仍不确定,并且对低剂量辐射的生物学反应取决于器官。在此背景下,MC方法可以预测这些器官中的生物学反应。蒙特卡罗方法已成为更好地预测电离辐射与生物物质之间相互作用后果的有力工具。MC建模还有助于表征微观系统动力学,并更好地理解在细胞、分子和纳米尺度上发生的过程。

相似文献

本文引用的文献

4
Machine Learning & Molecular Radiation Tumor Biomarkers.机器学习与分子辐射肿瘤标志物。
Semin Radiat Oncol. 2023 Jul;33(3):243-251. doi: 10.1016/j.semradonc.2023.03.002.
5
Radiation-induced bystander effect and its clinical implications.辐射旁效应及其临床意义。
Front Oncol. 2023 Apr 5;13:1124412. doi: 10.3389/fonc.2023.1124412. eCollection 2023.
7
Advances in Automated Treatment Planning.自动化治疗计划的进展。
Semin Radiat Oncol. 2022 Oct;32(4):343-350. doi: 10.1016/j.semradonc.2022.06.004.
9
Radiation-induced Cell Death and Its Mechanisms.辐射诱导的细胞死亡及其机制。
Health Phys. 2022 Nov 1;123(5):376-386. doi: 10.1097/HP.0000000000001601. Epub 2022 Sep 6.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验